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PROTEIN SECONDARY STRUCTURE PREDICTION WITH SEMI MARKOV HMMS Zafer Aydin
 

Summary: PROTEIN SECONDARY STRUCTURE PREDICTION WITH SEMI MARKOV HMMS
Zafer Aydin
, Y¨ucel Altunbas¸ak
, Mark Borodovsky

Center for Signal and Image Processing
Schools of Biology and Biomedical Engineering
Georgia Institute of Technology Georgia Institute of Technology
Atlanta, GA 30332-0250 Atlanta, GA 30332-0280
E-mail:{aydinz,yucel}@ece.gatech.edu E-mail: mark@amber.biology.gatech.edu
ABSTRACT
Secondary structure prediction has been an essential task in
determining the structure and function of the proteins. Prediction
accuracy is improving every year towards the 88% estimated theo-
retical limit [1]. There are two approaches for the secondary struc-
ture prediction. The first one, ab initio (single sequence) prediction
does not use any homology information. The evolutionary infor-
mation, if available, is used by the second approach to improve the
prediction accuracy by a few percentages [2]. In this paper, we
address the problem of single sequence prediction by developing

  

Source: Altunbasak, Yucel - School of Electrical and Computer Engineering, Georgia Institute of Technology
Aydin, Zafer - Department of Genome Sciences, University of Washington at Seattle

 

Collections: Biology and Medicine; Engineering